Centralize Vertex AI API Version Configuration

[ghchinoy]

Description:
Currently, the Vertex AI API version (e.g., v1beta1) is either hardcoded or relying on the SDK default across multiple model files (models/veo.py, models/image_models.py, etc.).

We should centralize this configuration to ensure consistency and make upgrades easier for users that want to explicitly set a version (v1beta1, v1, etc.).

Proposed Changes:

1. Update config/default.py:
   Add a new configuration variable to the Default class:

   VERTEX_API_VERSION: str = os.environ.get("VERTEX_API_VERSION", "v1beta1")

2. Refactor Model Clients:
   Update all genai.Client instantiations to use this config value.

   client = genai.Client(
       # ...
       http_options={'api_version': config.VERTEX_API_VERSION}
   )

Affected Files:

• config/default.py
• models/image_models.py
• models/veo.py
• models/vto.py
• models/upscale.py
• models/character_consistency.py
• models/model_setup.py

[github-actions]

🤖 Hi @ghchinoy, I've received your request, and I'm working on it now! You can track my progress in the logs for more details.

[calebjubal]

Hey @ghchinoy , can I take this issue and work on it, or this update has already taken place through the bot itself?

[ghchinoy]

Hi @calebjubal - this hasn't been assigned yet, but if you'd like to make a PR, please let me know or refer to this issue when submitting a PR!

[calebjubal]

I would love to take this issue, please do assign it to me and attach PR by referring to it!

[ghchinoy]

@calebjubal Please pull the latest please, we just added more for Nano Banana Pro

[calebjubal]

Hey @ghchinoy, please do check out my PR (#924) and share your review if there is anything else I need to complete!